DFX Engineering Intern

Meta is at the forefront of developing innovative hardware that redefines how people experience the world — from virtual to augmented reality. The Design For Excellence (DFX) team is a critical pillar of this mission, ensuring our cutting-edge devices are not only revolutionary in function but manufacturable at scale with the highest standards of quality, cost-efficiency, and reliability. As a DFX Engineering Intern, you will own a scoped manufacturing engineering project with direct mentorship from a DFX engineer. You'll get hands-on exposure to how a product moves from design intent to production reality — working alongside Hardware Engineering, Quality, Test Engineering, and our external manufacturing partners.

Responsibilities

Assist in developing manufacturing assembly processes, fixtures, and equipment requirements; contribute to fixture and line qualification activities. Perform tolerance analysis and GD&T-based studies on assemblies and part-level drawings under the guidance of your mentor. Collect and analyze process data (yield, cycle time, failure modes) and contribute to failure analysis and lessons-learned reports. Investigate a new or improved manufacturing process, applying theoretical and practical engineering knowledge to improve product quality or production efficiency. Present your project findings and recommendations to the DFX team and cross-functional partners at the end of the internship.

Qualifications

Currently has, or is in the process of obtaining a BS or MS in Mechanical, Electro-Mechanical, Manufacturing Engineering, or a related field Coursework or project experience in manufacturing processes, design for manufacturing, or mechanical design Exposure to GD&T and tolerance analysis fundamentals Experience with a 3D CAD (NX or PTC Creo preferred SolidWorks / CATIA acceptable) Effective written and verbal communication skills Prior internship or co-op in manufacturing, NPI, or product development Experience with data analysis or scripting applied to process or test data Familiarity with precision assembly, inspection, or automation equipment Exposure to adhesives, hot bar, or laser soldering/jetting processes Interest or coursework in AI-driven manufacturing or Smart Factory initiatives